Dim moving target detection in multispectral IR image sequence based on GLRT
基于GLRT的红外多光谱弱小运动目标检测

The scope of this paper addresses the problem of detecting a dim moving target from a sequence of multispectral IR cubes. In this work, the detection problem is formulated in a general framework, assuming unknown target amplitude, position and velocity. This composite hypothesis testing problem is approached by means of the generalized likelihood ratio test (GLRT) theory. The detector structure and its actual implementation based on velocity filters are discussed in detail. Approximated expressions of the false alarm and detection probabilities are obtained and validated by means of simulation. To test the effectiveness of the detection algorithm, the detection results obtained on a set of synthetic multispectral IR image sequences are presented and discussed, and these results indicate that the algorithm proposed in this paper can obtain a good performance on dim target detection with low SNR.